scholarly journals Engagement in online health communities : expressed attitudes and self-efficacy of arthritis self-management behaviors

2011 ◽  
Author(s):  
Erin Willis
Keyword(s):  
Self Efficacy ◽  
Self Management ◽  
Online Health Communities ◽  
Health Communities ◽  
Management Behaviors

scholarly journals Interrelationship between Interpersonal Interaction Intensity and Health Self-Efficacy in People with Diabetes or Prediabetes on an Online Diabetes Social Platform: An In-Depth Survey in China (Preprint)

2020 ◽  
Author(s):  
Zhihong Chen ◽  
Chaochuang Zhang ◽  
Chaochuang Zhang
Keyword(s):  
Self Efficacy ◽  
Diabetes Management ◽  
Linear Trend ◽  
Self Management ◽  
Community Interactions ◽  
Online Participation ◽  
Online Health Communities ◽  
Group Information ◽  
Health Communities ◽  
Patient Guidance

BACKGROUND - TBC OBJECTIVE The peer interaction–based online model has been influential in the recent development of diabetes management. This model “extends and innovates” the traditional mode of doctor–patient guidance, transforming it into a mode in which both doctor–patient guidance and patient–patient interaction coexist; this new mode has the added advantage of offering “extended continual intervention.” This study contributes to research on diabetes management models by investigating how patients with diabetes or prediabetes in China interact in online health communities, focusing on the interrelationship between self-efficacy characteristics and online participation during patient–patient interactions. METHODS In this cross-sectional study, participants with diabetes of all severities completed an electronic questionnaire, which was formulated with a revised classical scale. The questionnaire was disseminated through diabetes online health communities. Its content covered the respondent’s general condition, self-evaluation of their self-efficacy, and participation in online health communities, specifically with respect to factors such as the time spent each day consuming information online, the number of groups joined, and the extent of interaction in diabetes online health communities. The main observation indicators were the participants’ self-efficacy, their extent of online participation, and the characteristics of online health communities. Descriptive statistics, chi-square testing, linear trend estimation, and ordinal logistic regression were used to explore the relationship between the three indicators. RESULTS The self-efficacy scores (x̅ ± s) were 51.9 ± 9.12, and 59.1% of interviewed participants had self-efficacy scores greater than the mean. Overall, most participants (87.2%) considered online diabetes social platforms to be helpful. Groups differed with respect to interaction mode, which indicated that people with high self-efficacy tend to employ various modes of interaction. Participants with high self-efficacy were also more likely to be married (p < 0.05) and tended to spend more time paying attention to group information (p < 0.05), spend more time viewing group information (p < 0.05), and have a greater degree of interaction with group members (p < 0.05). Informationsources for the different grades of participants was primarily obtained from social media. CONCLUSIONS Among people with diabetes, the frequency and intensity of online interaction positively affect self-efficacy and, by implication, diabetes self-management. However, the design of online health communities has room for improvement, specifically with respect to the provision of information that patients require. As an interesting side note, among people with diabetes or prediabetes, those who were married, those who paid more attention to group information, and those who actively participated in interactions tended to have relatively high self-efficacy. The results suggest that people with diabetes have higher-quality self-care when they engage in online health community interactions; such benefits cannot be obtained from treatment in a hospital. In general, enhanced self-efficacy in people with diabetes enables them to more readily acquire diabetes-related knowledge. Therefore, online health communities are an important supplement to the clinical treatment of diabetes mellitus, and clinicians can take advantage of the educational function of online diabetes groups in their provision of tailored diabetes interventions. Such a use of online diabetes groups can strengthen diabetes self-management. CLINICALTRIAL none

scholarly journals Interrelationship between Interpersonal Interaction Intensity and Health Self-Efficacy in People with Diabetes or Prediabetes on Online Diabetes Social Platforms: An In-Depth Survey in China

2020 ◽  
Vol 17 (15) ◽  
pp. 5375
Author(s):  
Zhihong Chen ◽  
Chaochuang Zhang ◽  
Guanhua Fan
Keyword(s):  
Self Efficacy ◽  
Information Sources ◽  
Diabetes Management ◽  
The Self ◽  
Self Management ◽  
Online Interaction ◽  
Online Health Communities ◽  
Group Information ◽  
Health Communities ◽  
Patient Guidance

Objective: The peer interaction–based online model has been influential in the recent development of diabetes management. This model “extends and innovates” the traditional mode of doctor–patient guidance, transforming it into a mode in which both doctor–patient guidance and patient–patient interaction coexist; this new mode has the added advantage of offering “extended continual intervention.” This study contributes to research on extending diabetes management models by investigating how patients with diabetes or prediabetes interact in online health communities, focusing on the interrelationship between self-efficacy characteristics and online participation during patient–patient interactions. Methods: In this cross-sectional study, participants with diabetes of various severities completed an electronic questionnaire, which was formulated with a revised classical scale. The questionnaire was disseminated through diabetes online health communities. Its content covered the respondent’s general condition, self-evaluation of their self-efficacy, and participation in online health communities, specifically with respect to factors such as the time spent in online information each day, the number of groups joined, and the extent of interaction in diabetes online health communities, etc. The main observation indicators were the participants’ self-efficacy, their extent of online participation, and the characteristics of online health communities. Descriptive statistics, chi-square test, linear trend estimation, and ordinal logistic regression were used to explore the relationship between the three indicators. Results: The self-efficacy scores ( x ¯ ± s) were 51.9 ± 9.12, and 59.1% of interviewed participants had self-efficacy scores greater than the mean. Overall, most participants (96%) considered online diabetes social platforms to be helpful. Groups differed with respect to interaction mode, which indicated that people with high self-efficacy tend to employ various modes of interaction. Participants with high self-efficacy were also more likely to live in cities (p < 0.05) and be married (p < 0.05) and tended to spend more time paying attention to group information (p < 0.05), spend more time viewing group information (p < 0.05), and have a greater degree of interaction with group members (p < 0.05). Information sources for the different grades of participants was primarily obtained from social media. Conclusion: Among people with diabetes, the frequency and intensity of online interaction might positively affect self-efficacy and, by implication, diabetes self-management. Diabetics with high self-efficacy also tend to have positive online interaction and adopt different ways of interaction. In addition, the diabetes information sources of the respondents mainly come from social networks, most of the respondents think that online social networking sites have a positive impact on diabetes self-management, which shows that social network plays an important role in diabetes information source of diabetics. However, the design of online health communities has room for improvement, specifically with respect to the provision of information that patients require. As an interesting side note, among people with diabetes or prediabetes, those who lived in urban area and were married, those who paid more attention to group information, and those who actively participated in interactions tended to have relatively high self-efficacy. The results suggest that people with diabetes have higher-quality self-care when they engage in online health community interactions; such benefits cannot be obtained from treatment in a hospital. In general, enhanced self-efficacy in people with diabetes enables them to more readily acquire diabetes-related knowledge. Online interaction with diabetics, who has the same experience, can not only get more information, but also have a sense of identity and belonging, which enhances self-efficacy and further urges them to actively participate in online interaction. Therefore, online health communities are an important supplement to the clinical treatment of diabetes mellitus and clinicians can take advantage of the educational function of online diabetes groups in their provision of tailored diabetes interventions and take into account the factors that affect the self-efficacy of diabetics (including the frequency and intensity of online interaction, age, marital status, residential area, etc.), to provide tailored diabetes interventions for diabetics. Such a use of online diabetes groups can strengthen diabetes self-management.

scholarly journals Self-Efficacy, Problem Solving, and Social-Environmental Support Are Associated With Diabetes Self-Management Behaviors

Diabetes Care ◽  
2010 ◽  
Vol 33 (4) ◽  
pp. 751-753 ◽  
Author(s):  
D. K. King ◽  
R. E. Glasgow ◽  
D. J. Toobert ◽  
L. A. Strycker ◽  
P. A. Estabrooks ◽  
...  
Keyword(s):  
Problem Solving ◽  
Self Efficacy ◽  
Self Management ◽  
Environmental Support ◽  
Social Environmental ◽  
Management Behaviors

scholarly journals Relationships between activation level, knowledge, self-efficacy, and self-management behavior in heart failure patients discharged from rural hospitals

F1000Research ◽  
2015 ◽  
Vol 4 ◽  
pp. 150 ◽  
Author(s):  
Van Do ◽  
Lufei Young ◽  
Sue Barnason ◽  
Hoang Tran
Keyword(s):  
Heart Failure ◽  
Rural Areas ◽  
Self Efficacy ◽  
Hospital Readmissions ◽  
Patient Activation ◽  
Rural Hospitals ◽  
Self Management ◽  
Heart Failure Patients ◽  
Activation Level ◽  
Management Behaviors

Non-adherence to self-management guidelines accounted for 50% of hospital readmissions in heart failure patients. Evidence showed that patient activation affects self-management behaviors in populations living with chronic conditions. The purpose of this study was to describe patient activation level and its relationship with knowledge, self-efficacy and self-management behaviors in heart failure patients discharged from rural hospitals. Our study populations were recruited from two hospitals in rural areas of Nebraska. We found that two-thirds of the participants reported low activation levels (e.g., taking no action to manage their heart failure condition). In addition, low patient activation levels were associated with inadequate heart failure knowledge (p=.005), low self-efficacy (p<.001) and low engagement in heart failure self-management behaviors (p<.001) after discharge from hospital.

scholarly journals The Contribution of Living Arrangements, Social Support, and Self-efficacy to Self-management Behaviors Among Individuals With Heart Failure

2019 ◽  
Vol 34 (4) ◽  
pp. 319-326 ◽  
Author(s):  
Elliane Irani ◽  
Scott Emory Moore ◽  
Ronald L. Hickman ◽  
Mary A. Dolansky ◽  
Richard A. Josephson ◽  
...  
Keyword(s):  
Heart Failure ◽  
Social Support ◽  
Living Arrangements ◽  
Self Efficacy ◽  
Self Management ◽  
Management Behaviors

scholarly journals The association between self-efficacy and self-management behaviors among Chinese patients with type 2 diabetes

PLoS ONE ◽  
2019 ◽  
Vol 14 (11) ◽  
pp. e0224869 ◽  
Author(s):  
Jingjing Yao ◽  
Haipeng Wang ◽  
Xiao Yin ◽  
Jia Yin ◽  
Xiaolei Guo ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Self Efficacy ◽  
Chinese Patients ◽  
Self Management ◽  
Management Behaviors

scholarly journals The Effectiveness of Telenursing for Self-Management Education on Cardiometabolic Conditions: A Pilot Project on a Remote Island of Ōsakikamijima, Japan

2021 ◽  
Vol 12 ◽  
pp. 215013272110308
Author(s):  
Michiko Moriyama ◽  
Kana Kazawa ◽  
Yasmin Jahan ◽  
Mika Ikeda ◽  
Mariko Mizukawa ◽  
...  
Keyword(s):  
Self Efficacy ◽  
Management Education ◽  
Density Lipoprotein ◽  
Self Management ◽  
Behavior Changes ◽  
Remote Island ◽  
Cardiometabolic Risks ◽  
Remote Islands ◽  
Management Behaviors

Introduction: Providing self-management education for residents with cardiometabolic conditions in remote islands is a challenge due to the shortage of primary care practitioners (PCPs), specialist physicians, and nurses. Therefore, we applied telenursing with lifestyle-related chronic diseases in remote island residents in Japan. This project aimed to improve the self-management behavior, cardiometabolic indicators, self-efficacy, and quality of life (QoL) of residents with cardiometabolic risks. Methods: We chose Ōsakikamijima Island, Hiroshima Prefecture, Japan, which is designated under the Remote Islands Development Act. The project was conducted from 2013 to 2014. The residents aged over 40 and under 75 years old, selected from the annual specific health check-up examination and from PCPs for screening cardiometabolic risks (urinary protein, glycohemoglobin A1c, systolic and diastolic blood pressure (BP), Low-density lipoprotein cholesterol, High-density lipoprotein cholesterol, and triglyceride) were included. The effectiveness of telenursing for self-management education was 6-month-long with a 6-month follow-up and evaluated by a single-group pre-and post-test design. Face-to-face health education was applied at the initial interview followed by telenursing (biweekly telephone calls till third-month, and a monthly telephone call during the fourth and fifth-month) by the trained nurses outside the island. To enhance participants’ self-monitoring health behavior changes, the nurses used motivational interviewing and behavior change techniques based on the transtheoretical model. Results: A total of 130 residents, 42 agreed to participate, 41 finished the 6-month program, and 33 completed the 12-month follow-up. Most of their behavior changes like self-management behaviors, cardiometabolic indicators, and self-efficacy at 6-month were improved significantly except QoL. Among the 12-month study periods, self-management behaviors, body mass index, systolic BP, diastolic BP, and self-efficacy (sense of control), (all P < .05) showed significant improvement. Conclusion: This study results indicated that telenursing might be effective to improve the lifestyles-related behaviors in chronic diseases on the remote island of Ōsakikamijima, Japan.

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